A research on E-learning process Capability Maturity Model

2011 ◽  
Author(s):  
Liu Ming-Li ◽  
Mu Dan
Keyword(s):  
Learning Process ◽  
Process Capability ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Capability Maturity ◽  
E Learning

scholarly journals Remanufacturing Process Capability Maturity Model

2017 ◽  
Vol 8 ◽  
pp. 715-722 ◽  
Author(s):  
Steffen Butzer ◽  
Sebastian Schötz ◽  
Rolf Steinhilper
Keyword(s):  
Process Capability ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Capability Maturity

The development of the data science capability maturity model: a survey-based research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mert Onuralp Gökalp ◽  
Ebru Gökalp ◽  
Kerem Kayabay ◽  
Altan Koçyiğit ◽  
P. Erhan Eren
Keyword(s):  
Data Science ◽  
Gap Analysis ◽  
Process Capability ◽  
Capability Maturity Model ◽  
International Electrotechnical Commission ◽  
Maturity Model ◽  
Data Governance ◽  
Content Type ◽  
Capability Maturity ◽  
Development Framework

PurposeThe purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.Design/methodology/approachThis paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.FindingsIt was found that organizations seek a capability/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.Originality/valueThis paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.

scholarly journals Towards E-Learning Capability Maturity Model

2011 ◽  
Vol 43 (1) ◽  
pp. 88-91 ◽  
Author(s):  
Ludmila Penicina
Keyword(s):  
Software Development ◽  
Business Processes ◽  
Project Planning ◽  
Learning System ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Learning Capability ◽  
Capability Maturity ◽  
E Learning ◽  
Reducing Costs

Towards E-Learning Capability Maturity ModelIn the software development Capability Maturity Model (CMM) is a methodology for constantly optimizing organization's software development processes in order to meet project deadlines and customers' satisfaction in more efficient way. Nowadays e-learning becomes a valuable business tool not only for reducing costs and improving employees' competences in specific business areas but also for creating considerable Return on Investment (ROI) for the businesses. More and more companies choose an e-learning environment over classic classroom learning. When more companies are implementing e-learning it is time to create a common workplace e-learning CMM which defines the framework and best practices for e-learning business processes that can be used as standard and guidelines for companies which are starting e-learning projects as well as companies practicing e-learning. The paper proposes e-learning implementation and maintenance business processes incorporated in the classic PDCA cycle consisting of four e-learning project phases - e-learning project planning, e-learning system implementation, e-learning monitoring and e-learning optimization.

Software Product Line Measurement Process Capability Maturity Model

2014 ◽  
Vol 536-537 ◽  
pp. 673-677
Author(s):  
Jian Jie Ding
Keyword(s):  
Process Capability ◽  
Software Product Line ◽  
Academic Community ◽  
Product Line ◽  
Measurement Process ◽  
Capability Maturity Model ◽  
Maturity Model ◽  
Capability Maturity ◽  
Line Measurement ◽  
Software Product

Software product line has been a key area of concern in software industry due to its advantage on the productivity and quality of software products. At same time, both software organizations and the academic community are aware that the software measurement is necessary in software product line. However, there are many problems: what is difference in software product line measurement, how about their measurement process in the end, etc. It addresses this problem by creating a specialized Software Product Line Measurement Process Capability Maturity Model (SPLMP-CMM). SPLMP-CMM including five maturity levels: initial, tentatively, defined, compesive and optimized. The model focus on the basic practice areas which should be implementing of every level, it helps the originations to assess their measurement process and provides guidance for them to a higher maturity level.

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